What can a paper or packaging converter ask of its own data?

Start with where each order sits between long, stable runs and the long tail of short, variable ones, and what each kind of work really earns. Then ask which customers' short-run work could move elsewhere, which long-run work is under-priced, and where substitutions, trim and set-ups are eating margin. Those questions matter more in 2026 than a new dashboard of machine speeds, because one advisory firm reads the corrugated market as splitting along that line. The examples here are corrugated; the same split between long runs and a long tail applies to folding carton, sacks and labels, even where the technology threat differs. A converter's order history, production records and invoices hold the answers, but in separate places.

What the usual answer says

Lists of questions for converters cover production efficiency, downtime, waste, on-time delivery, customer profitability and demand forecasting, answered with dashboards and analytics. All worth knowing. None is anchored to the shift now changing which work converters keep.

How the market is splitting

Graphic Arts Advisors, an M&A advisory firm, set out the shift in the editorial to its July 2026 monthly deal log. Machines that make right-sized boxes on site, at the packing line, are expected to take a share of variable work. "A growing portion of variable, short-run work will be converted closer to the packing line". The technology is "most compelling where variability creates waste", including "operations with a long tail of low-volume SKUs".

Conventional converting keeps the rest. "Traditional plants will continue to produce large runs, decorated packaging, and boxes for uniquely shaped or fragile products". At the same time, one of the largest producers announced four more plant closures in June 2026, on top of six in the previous twelve months, while building new capacity elsewhere, including a $225 million greenfield plant. Closures can have many causes beyond right-sizing. The review calls it a "K-shaped future". It is one firm's reading, built on one acquisition and one producer's moves. Right-sizing may stay confined to e-commerce and fulfilment. The questions below are worth asking either way.

The questions that follow

Which of our orders are long-run, and which are long tail?

Segment every order by run length and how often it repeats, from the order history. Check whether a small number of SKUs carry most of the volume and a long tail carries most of the set-ups; that is the pattern to expect, and the data says whether it holds.

What does each segment earn after everything?

Set-up time, plate and die costs, trim, substitutions and service sit in separate records and are rarely attached to the order they belong to, so invoice margin misses them. Plante Moran's 2025 analysis of cost to serve found that in one consumer-goods case, not a converter, "'Easy' customers were subsidizing those with more service requirements", and repricing on cost to serve led to a 12% increase in EBITDA.

Where are substitutions and trim costing us?

Constantine Goulimis and Gastón Simone, who work for Greycon, a vendor of planning and trim-optimisation software to the industry, note in a 2020 study of an integrated packaging company that "Material substitution is common practice in the industry". The record that answers this is the production log of grade actually run, set against the grade on the order. Which orders ran on an upgraded grade, and who paid for it?

Which accounts' short-run work could leave?

Customers with many low-volume SKUs, shipping direct to consumers or through third-party logistics, are, on the review's reading, the likeliest to move work to on-site boxing. Ship-to addresses and SKU counts in the order data show who they are.

Is long-run work priced for what it is?

Stable, high-volume work that plants will compete harder for may be under-priced relative to its cost to make, or over-priced relative to what a rival will now quote. Cost per order from the joined records, set against quoted price, shows which.

What the answers can change

We would expect the answers to bear first on pricing, where set-up and service costs can be added to short runs and long-run quotes checked against competition. They can also inform which accounts sales approaches first, before short-run work moves elsewhere.

How to answer them

The data sits in three places: the order and invoice history, production records from the corrugator and converting lines, and cost records for board, dies, plates and freight. Joining them by order is the work. AI helps by reading order confirmations and production reports into records, matching runs to orders when one run serves several, and producing the segment view each month.

Start with one year of orders. Segment them, attach set-up and trim to each, and rank customers by margin after both. That table should answer the first two questions and show which accounts to look at for the rest.

When it doesn't apply

Converters with one product and one customer type, such as a plant supplying a single large account with a few stable box sizes, have little segmentation to do. Folding carton and specialty converters face different technology shifts, though the long-run and long-tail question still applies. And the 2026 review is one advisory firm's reading of the market, not a survey.

Quarri for pulp, paper and packaging is built around how a fibre operation runs, from furnish to converted order.

Quarri is an AI-native data platform for the timber supply chain. It connects buying, production, sales and inventory for forest management, sawmill, wood products and pulp, paper and packaging operators.